MediaBrain-SJTU/MING
明医 (MING):中文医疗问诊大模型 observed · 2026-08-28
Health v2 · maintenance only
40/100
- Activity 23
- Release rhythm 35
- Longevity 88
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1244
- days_rel: n/a
- days_push: 467
- n_releases_24m: 0
Adoption not part of the score
1173 stars · 145 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
MING (明医) is a Chinese medical consultation large language model fine-tuned on medical instruction data, with variants built on bloomz-7b and Qwen1.5 bases. The repository provides model weights, training code, and demos for medical QA and multi-turn intelligent consultation.
Use cases
- build a chinese medical chatbot
- fine-tune an llm on medical instruction data
- answer medical questions with a domain-specific model
- run multi-turn patient consultation dialogues
- deploy a healthcare assistant model locally
- research medical llm alignment and evaluation
When to choose
- you need a chinese-language medical consultation model
- you want open weights under a permissive Apache-2.0 license
- you are researching medical llm fine-tuning or multi-task medical learning
When to avoid
- you need clinical-grade diagnostic accuracy or certified medical advice
- you need an english-language medical model
- you lack gpu resources for running 7B-scale models
Facets
library · maturity active
llm-inference llm-training chatbot machine-learning healthcare large-language-models artificial-intelligence python medical-llm chinese-language instruction-tuning huggingface medical-consultation natural-language-processing gpu linux
1 source
- readme: https://github.com/MediaBrain-SJTU/MING · fetched 2026-08-28 · 72cb95511c47
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| MediaBrain-SJTU/MING | main | 40 |
For agents
markdown · JSON · MCP: product_card(name="MediaBrain-SJTU/MING")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem